🌎Document Reviewer, Remote - Contract

Posted Yesterday
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Hiring Remotely in United States
Remote
Junior
HR Tech • Information Technology • Professional Services • Consulting
The Role
Review large volumes of structured and unstructured data to ensure accuracy, classify and redact PII, follow strict taxonomies, perform QA/validation, maintain records, and communicate findings to support AI training.
Summary Generated by Built In

Job Title: Document Reviewer

Job Type: Contractor

Location: Remote

Required Skills

  • Review Data

  • Identify Issues

  • Validate Outputs

  • Maintain Consistency

  • Personal Identifiable Information

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Key Responsibilities:

  • Carefully review large volumes of structured and unstructured data, ensuring accuracy and completeness.

  • Identify and flag issues related to data quality, consistency, and potential risks involving Personal Identifiable Information (PII).

  • Annotate, classify, and, where necessary, redact sensitive information to maintain privacy and compliance standards.

  • Follow strict guidelines, taxonomies, and workflow processes for data categorization and validation.

  • Perform quality assurance (QA) checks to verify data integrity and validate outputs.

  • Maintain detailed records of reviewed documents and actions taken to ensure traceability and accountability.

  • Collaborate with the customer's team, providing clear and concise written and verbal communication about findings and recommendations.

Required Skills and Qualifications:

  • Proven experience in document review, auditing, annotation, redaction, or data classification at scale.

  • Exceptional attention to detail with a high level of accuracy in repetitive tasks.

  • Familiarity with handling and protecting Personal Identifiable Information (PII).

  • Strong written and verbal communication skills, with the ability to document findings and communicate effectively with team members.

  • Demonstrated ability to follow complex guidelines and adhere to established taxonomies.

  • Experience performing QA or validation work on large data sets.

  • Ability to balance efficiency with precision in a remote work environment.

Preferred Qualifications:

  1. Background in legal, compliance, privacy, auditing, compliance or information security domains.

  2. Prior experience supporting data-driven AI or machine learning projects.

  3. Comfort with collaboration tools and digital workflow management platforms.

Skills Required

  • Review data at scale (structured and unstructured)
  • Identify and flag data quality issues
  • Validate outputs and perform QA checks
  • Maintain consistency with established taxonomies and guidelines
  • Handle and protect Personal Identifiable Information (PII)
  • Proven experience in document review, auditing, annotation, redaction, or data classification at scale
  • Exceptional attention to detail and high accuracy in repetitive tasks
  • Strong written and verbal communication skills
  • Demonstrated ability to follow complex guidelines
  • Experience performing QA or validation on large datasets
  • Ability to balance efficiency with precision in a remote work environment
  • Background in legal, compliance, privacy, auditing, or information security domains
  • Prior experience supporting data-driven AI or machine learning projects
  • Comfort with collaboration tools and digital workflow management platforms
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The Company
Year Founded: 2012

What We Do

Xperteez Technology is a business consulting and recruitment firm that bridges the gap between business needs and talent. The company specializes in providing IT consulting, digital marketing, and comprehensive recruitment solutions across various sectors, including BFSI, manufacturing, and e-commerce. They focus on connecting qualified job seekers with direct payroll opportunities at leading companies across India, emphasizing growth and technological excellence.

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